Machine Learning courses

1334 Courses

Data Science: NLP and Sentimental Analysis in R

Title: Data Science: NLP and Sentimental Analysis in R Description: Dive deep into the world of Data Science with our comprehensive course on Natural Language Processing (NLP) and Sentiment Analysis, using the script of the beloved show "The Big Bang Theory" as a case study. This course, offered on Udemy, is meticulously designed for learners to ma.
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provider Udemy
pricing Paid Course
duration 11 hours
sessions On-Demand

Literacy Essentials: Core Concepts Generative Adversarial Network

Discover the revolutionary world of Generative Adversarial Networks (GANs) with our "Literacy Essentials: Core Concepts Generative Adversarial Network" course. Offered by Pluralsight, this comprehensive course demystifies the theory and practical application of GANs, the ground-breaking neural networks behind the captivating generated images, video.
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provider Pluralsight
pricing Free Trial Available
duration 33 minutes
sessions On-Demand

AI Platform: Qwik Start

Title: AI Platform: Qwik Start Description: Dive into the Google Cloud console for a self-paced lab experience with "AI Platform: Qwik Start." This interactive session enables you to train and deploy a TensorFlow model directly to the AI Platform for prediction purposes. Enhance your skills by watching insightful videos like "Harness the Power of M.
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provider Coursera
pricing Paid Course
duration 1 hour
sessions On-Demand

Text Analytics and Predictions with Python Essential Training

Enhance your skills in text analytics and predictive modeling with our comprehensive course, brought to you by LinkedIn Learning. Dive deep into the world of Python to master techniques for analyzing text data, and apply machine learning along with natural language processing (NLP) to extract meaningful insights. Whether you're interested in sentim.
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provider LinkedIn Learning
pricing Free Trial Available
sessions On-Demand

NLP with Python for Machine Learning Essential Training

Unlock the power of language with NLP with Python for Machine Learning Essential Training, offered through LinkedIn Learning. This detailed course dives deep into the realm of Natural Language Processing (NLP), guiding you through the intricacies of advanced data cleaning, vectorization techniques, and the construction of machine learning classifie.
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provider LinkedIn Learning
pricing Free Trial Available
duration 4-5 hours
sessions On-Demand

Natural Language Processing, Deploy on Cloud(AWS) [Hindi]

Unlock the potential of Natural Language Processing (NLP) with a focus on deploying on AWS Cloud, tailored specifically for Hindi speaking students. This comprehensive course, available on Udemy, dives into the fundamentals and advanced concepts of NLP, Machine Learning, creating spam filters, and conducting sentiment analysis using Python. Whether.
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provider Udemy
pricing Paid Course
duration 8 hours
sessions On-Demand

Python Programming: Learn Python by Build a XTwitter Chatbot

Discover the fundamentals of Python programming through hands-on examples and create your own Twitter chatbot. This comprehensive course, offered by Udemy, covers everything from basic programming concepts in Python to the development of a fully functional chatbot for Twitter. Whether you're interested in machine learning, data science, chatbot dev.
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provider Udemy
pricing Paid Course
duration 2 hours 27 minutes
sessions On-Demand

Natural Language Processing Real World Use-cases in Python

Discover the power of Natural Language Processing (NLP) through practical applications in our comprehensive course, "Natural Language Processing Real-World Use-cases in Python". Offered by Udemy, this course dives deep into how you can leverage tools like NLTK, scikit-learn, and sentiment analysis techniques to address and solve real-world NLP chal.
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provider Udemy
pricing Paid Course
duration 10 hours 23 minutes
sessions On-Demand

Data Balancing with Gen AI: Credit Card Fraud Detection

Discover the power of Generative AI in combating credit card fraud with our 2-hour guided project titled "Data Balancing with Gen AI: Credit Card Fraud Detection". Offered by Coursera, this project is in collaboration with SecureTrust Financial Services, aiming to showcase how Generative Adversarial Networks (GANs) can be used to generate synthetic.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand

CNNs with TensorFlow: Basics of Machine Learning

Join our comprehensive course, "CNNs with TensorFlow: Basics of Machine Learning," available on Coursera, and embark on a 90-minute, project-based journey into the world of machine learning. This course is meticulously designed for individuals eager to delve into the practical aspects of utilizing TensorFlow to craft and manage neural network model.
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provider Coursera
pricing Paid Course
duration 2-3 hours
sessions On-Demand

More and more products are now being developed using artificial intelligence. To avoid being left on the sidelines of progress, managers must understand how the robot’s “brains” work

Artificial intelligence (AI) and machine learning technologies have been used for many years, but now the intensity of their use has increased significantly. For example, machine learning is being actively implemented in telecommunications, retail, marketing and e-commerce. But many still do not fully understand what it is.

Machine learning involves the system processing a large number of examples, during which it identifies patterns and uses them to predict the characteristics of new data. In other words, this is the process of giving AI ml courses “consciousness”, the ability to remember and analyze.

Machine learning use cases

The use of machine learning has touched many areas in our lives. Let's look at the most striking examples of the use of computer intelligence:

Facial recognition in the subway will help identify violators or criminals in a huge mass of people. Ordinary observers cannot cope with this task. But a fast-learning machine will do this job without any problems.

What do you need for machine learning (ML)?

For those interested in training, there are several requirements to be met in order to be successful in this field. So, there are the main points you need to know about the machine learning course. These requirements include:

  1. Basic knowledge of programming languages such as Python, R, Java, JavaScript, etc.

  2. Average knowledge of statistics and probability.

  3. Basic knowledge of linear algebra in the ml course. In a linear regression model, a line is drawn through all the data points, and that line is used to calculate new values.

  4. Understanding Calculus.

  5. Knowledge of how to clean and structure raw data into the desired format to reduce the time required for decision making.

Machine learning courses from AI Eeducation are the best choice!